Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hi, I Am Looking To Upload "Already Trained Models" As Experiments In My Clearml Server. How Should I Go About Doing That? Clearml Picks Up The Tensorboard Automatically While It'S Training And Reports It But How Would I Do This If I Had Everything Alread

Hi, I am looking to upload "already trained models" as experiments in my ClearML Server. How should I go about doing that? ClearML picks up the Tensorboard automatically while it's training and reports it but how would I do this if I had everything already?

  
  
Posted 3 years ago
Votes Newest

Answers 4


Right, parsing the TB is too much work, I'll look into the material you sent. Thanks!

  
  
Posted 3 years ago

SmarmyDolphin68 sadly if this was not executed with trains (i.e. the offline option of trains), this is not really doable (I mean it is, if you write some code and parse the TB 😉 but let's assume this is way to much work)
A few options:
On the next run, use clearml OFFLINE option, (i.e. in your code call Task.set_offline() , or set env variable CLEARML_OFFLINE_MODE=1) You can compress the upload the checkpoint folder manually, by passing the checkpoint folder, see https://github.com/allegroai/clearml/blob/fa77d0f380739c9d56e9e0bce8a8a9bfafb339f4/examples/reporting/model_config.py#L37 wdyt?

  
  
Posted 3 years ago

AgitatedDove14 , Let me clarify, I meant, let's say I have all the data like checkpoints, test and train logdirs, scripts that were used to train a model. So, how would I upload all of that to the ClearML server without retraining a model, so that the 'Scalars', 'Debug Samples', 'Hyperparameters', everything show up on ClearML server like they generally do?

  
  
Posted 3 years ago

Hi SmarmyDolphin68
You have two options:
Automatically upload the models when training pass output_uri to Task.init. For example output_uri=True will upload to the clearml-server, output_uri=' s3://bucket/folder ' will upload to S3 etc. Manually upload a model that you have locally: https://github.com/allegroai/clearml/blob/9ff52a8699266fec1cca486b239efa5ff1f681bc/examples/reporting/model_config.py#L37

  
  
Posted 3 years ago